yha9806/academic-writing-toolkit/self-review
Claude Code and agent skill by yha9806/academic-writing-toolkit
- community
Checking that the SKILL.md file is still in the repository.
Review the user's own manuscript, paper, thesis chapter, rebuttal, or release packet with clean-room anti-contamination controls and, when needed, an unfamiliar-reader comprehension gate. Use for internal review, readiness checks, reviewer simulation, or claim-evidence self-audit where prior chat memory and unstated context must not become evidence.
Install
npx vskill@latest install yha9806/academic-writing-toolkit/self-reviewSKILL.md
/self-review - Clean-Room Manuscript Self-Review
Purpose
Audit the user's own work without letting memory, prior chats, unstated project knowledge, or the model's background knowledge become evidence.
The governing rule is:
Use /argument-governance first when the manuscript needs a formal intent, contribution, claim, and evidence map.
Codex-Only Baseline
Complete self-review with Codex, the review manifest, allowed sources, and the bundled packet checker. Do not require Gemini, gemini-agent, a second model, or a subagent. If an external review is available, keep it in Reviewer-risk inference or advisory notes and never use it as source support.
If /argument-governance is unavailable, manually extract the same clean-room argument spine from manifest-listed sources only.
Enhanced Advisory Mode
If the manifest and the user explicitly allow an API-key-backed advisory review, Codex may run or incorporate a second-model pass after the clean-room self-review packet is valid.
Rules:
- the base clean-room review must be possible without the external call
- API keys must be read from environment variables only
- the manifest may name
api_key_env_var, but must never store the key value - only manifest-approved source subsets may be sent externally
- external findings must be placed under
Reviewer-risk inferenceor advisory notes - external findings must be re-grounded against allowed sources before becoming revision actions
- unsupported external comments stay unsupported
Core Rules
- Use only files listed in the review manifest.
- Treat prior chat memory, unstated project assumptions, model background knowledge, and unlisted notes as forbidden evidence.
- Split every finding into
Supported by packet,Not supported by packet, orReviewer-risk inference. - Every supported finding must include a source anchor.
- Do not repair missing evidence by remembering earlier conversations.
- Do not treat generated reviews, agent drafts, or reviewer simulations as final evidence.
- Do not edit the manuscript until the user approves specific revision actions.
- Do not treat an unavailable external review tool as a blocker.
Required Packet
The preferred layout is:
Read references/clean_room_protocol.md before reviewing. Read references/self_review_packet_schema.md before creating or validating a packet.
Workflow
1. Validate The Clean-Room Packet
Resolve the bundled helper at scripts/check_self_review_packet.py relative to this SKILL.md, then run:
If the packet is missing or invalid, report the issue before reviewing.
2. Build The Source-Bounded Reading List
Read only manifest-listed files. If a needed file is not listed, ask whether to add it to the manifest or mark the issue as unsupported.
3. Extract The Argument Spine
From the packet only, extract:
- stated intent
- named gap
- contributions
- main claims
- evidence anchors
- limitations
- reviewer-risk areas
4. Run Self-Review Checks
Check:
- gap-contribution alignment
- claim hierarchy
- claim-evidence fit
- evidence balance
- unsupported or overextended claims
- missing limitations
- reviewer attacks with weak defenses
- internal consistency and submission blockers
4.5 Run The Unfamiliar-Reader Gate When Required
For an important version, submission-readiness claim, or revision contract that requires a comprehension check, read references/reader_comprehension_gate.md. Prepare a packet containing only the title, abstract, Figure 1, and main Results summary table, all of which must be manifest-listed. Record the unfamiliar human reader's answers to the five questions and compare them with the author-approved intent and argument baseline.
Only an actual unfamiliar human response can produce passed. A model simulation, author explanation, or response from a collaborator with prior project knowledge remains advisory_only. If no eligible response exists, record not_run; do not claim that the human gate passed.
5. Write A Clean-Room Report
The report must separate:
Supported by packetNot supported by packetReviewer-risk inference
Do not merge these categories.
Output Pattern
Stop Conditions
Stop and report a blocker if:
- no review manifest is provided
- the user asks to rely on previous chat or memory for evidence
- a central claim needs a source not listed in the manifest
- the packet validator reports missing allowed files
- the user asks to mark unsupported claims as supported
- a required unfamiliar-reader gate lacks an eligible human response but the manuscript is being described as having passed it
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingarchive/skills/self-review/SKILL.md
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